Infrastructure
Understand the hardware behind HardwAIre DAO, including our RTX 4090 GPU clusters and their role in powering AI projects.
Last updated
Understand the hardware behind HardwAIre DAO, including our RTX 4090 GPU clusters and their role in powering AI projects.
Last updated
HardwAIre DAO will exclusively utilize RTX 4090 GPUs to build its computational infrastructure. The RTX 4090 stands out as one of the most advanced and efficient GPUs available, designed specifically for high-performance tasks, including AI model training and complex computational workloads.
GPU Architecture: NVIDIA Ada Lovelace Architecture
CUDA Cores: 16,384
Boost Clock: 2.52 GHz
VRAM: 24GB GDDR6X
Memory Interface: 384-bit
Power Consumption: 450W
Performance: Up to 82.6 TFLOPS (single-precision compute)
Connectivity: PCI Express 4.0
Thermal Design: Advanced cooling with triple-fan technology
AI Model Training: The RTX 4090 excels at training large neural networks and generative AI models.
Real-Time Inference: Capable of handling inference tasks with minimal latency.
Parallel Computing: Optimized for high-performance parallel tasks, critical for large-scale data processing.
Decentralized AI Agents: Supports distributed AI agent systems, enabling efficient collaborative computations.
Cost-Effective Performance: Provides the highest computational output per dollar spent.
Scalability: Modular architecture allows the integration of multiple RTX 4090 GPUs in a single node.
Energy Efficiency: Delivers superior performance per watt compared to older GPU generations.
Wide Software Support: Compatible with major AI frameworks like TensorFlow, PyTorch, and CUDA.
Initial Cluster Size: 75 RTX 4090 GPUs per cluster.
Expansion Plans: Future funding cycles will support the addition of more GPU clusters.
Community Allocation: A fixed percentage of computational power will remain reserved for community initiatives.
Monitoring Tools: Real-time GPU health and usage tracking systems.
Cooling Infrastructure: Efficient airflow and cooling solutions to prevent hardware degradation.
Technical Support: Dedicated maintenance teams to ensure consistent GPU uptime.
